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Investigations of Ratio-Based Integrated Influence Lines as Features for Bridge-Damage Detection

Döring, Andreas ORCID iD icon 1; Vogelbacher, Markus ORCID iD icon 1; Schneider, Oliver; Müller, Jacob; Hinz, Stefan 2; Matthes, Jörg 1
1 Institut für Automation und angewandte Informatik (IAI), Karlsruher Institut für Technologie (KIT)
2 Institut für Photogrammetrie und Fernerkundung (IPF), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

Prestressed concrete bridges built between 1960 and 1990 no longer meet today’s requirements due to loads and increasing mileage of higher loads that have increased since the bridges were designed. Prestressed concrete bridges are representative of Germany’s existing bridges. In order to deal with the large number of ageing bridges, recalculations and measurements for control as well as bridge monitoring are an important means of support. For both, it is important to find features that are damage-sensitive as well as robust against measurement noise, vehicle parameters (dynamics, geometry, weight, etc.) and environmental influences (temperature, wind, etc.). In this paper, we present features for damage detection based on the influence line, which are investigated with respect to the above requirements by using the analytical solution of the Euler–Bernoulli beam and more complex numerical bridge simulations. In this context, we restrict ourselves to the damage caused by bending stress. The features are calculated on the basis of single vehicle crossings over the bridge for the strain in the longitudinal direction as well as for the deflection of the bridge at different sensor positions. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000157786
Veröffentlicht am 12.04.2023
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Automation und angewandte Informatik (IAI)
Institut für Photogrammetrie und Fernerkundung (IPF)
Publikationstyp Zeitschriftenaufsatz
Publikationsdatum 04.04.2023
Sprache Englisch
Identifikator ISSN: 2412-3811
KITopen-ID: 1000157786
HGF-Programm 37.12.01 (POF IV, LK 01) Digitalization & System Technology for Flexibility Solutions
Erschienen in Infrastructures
Verlag MDPI
Band 8
Heft 4
Seiten Art.-Nr. 72
Projektinformation ZEBBRA (BMBF, 13N14709)
Bemerkung zur Veröffentlichung Gefördert durch den KIT-Publikationsfonds
Schlagwörter Structural Health Monitoring, Bridge Monitoring, anomaly detection, influence line, influence line-based features
Nachgewiesen in Scopus
Dimensions
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
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